Laws in Probability:
1. Addition law-
Suppose it is revealed that A+B ≤ 5. Table 2 shows that A+B ≤ 5 for 10 outcomes. For 3 of these, A = 2. So the probability that A = 2 given that A+B ≤ 5 is P(A=2 | A+B ≤ 5) = 3⁄10 = 0.3.
3. Multiplicative law-It is used for dependent events.
For Example : Suppose you are going to draw two cards from a standard deck. What is the probability that the first card is an ace and the second card is a jack (just one of several ways to get “blackjack” or 21).
Sources:
http://www.algebralab.org/lessons/lesson.aspx?file=Algebra_ProbabilityMultiplicationRule.xml.
http://www.stat.wvu.edu/SRS/Modules/ProbLaw/AndProb.html.
http://www.mathgoodies.com/lessons/vol6/addition_rules.html.
http://www3.ul.ie/~mlc/support/Loughborough%20website/chap4/4_3.pdf.
1. Addition law-
The addition rule is a result used to determine the probability that event A or event B occurs or both occur.
- The result is often written as follows, using set notation:
- where:
- P(A) = probability that event A occurs
- P(B) = probability that event B occurs
= probability that event A or event B occurs
= probability that event A and event B both occur
- For mutually exclusive events, that is events which cannot occur together:
= 0
- The addition rule therefore reduces to
= P(A) + P(B)
- For independent events, that is events which have no influence on each other:
- The addition rule therefore reduces to
- Example
- Suppose we wish to find the probability of drawing either a king or a spade in a single draw from a pack of 52 playing cards.
- We define the events A = 'draw a king' and B = 'draw a spade'
- Since there are 4 kings in the pack and 13 spades, but 1 card is both a king and a spade, we have:
= 4/52 + 13/52 - 1/52 = 16/52
- So, the probability of drawing either a king or a spade is 16/52 (= 4/13).
- 2. Conditional law- It is the probability that an event will occur, when another event is known to occur or to have occurred.
-
- For Example:
Suppose that somebody secretly rolls two fair six-sided dice, and we must predict the outcome.- Let A be the value rolled on die 1
- Let B be the value rolled on die 2
What is the probability that A = 2? Table 1 shows the sample space. A = 2 in 6 of the 36 outcomes, thus P(A=2) = 6⁄36 = 1⁄6.
Table + B=1 2 3 4 5 6 A=1 2 3 4 5 6 7 2 3 4 5 6 7 8 3 4 5 6 7 8 9 4 5 6 7 8 9 10 5 6 7 8 9 10 11 6 7 8 9 10 11 12
- For Example:
Suppose it is revealed that A+B ≤ 5. Table 2 shows that A+B ≤ 5 for 10 outcomes. For 3 of these, A = 2. So the probability that A = 2 given that A+B ≤ 5 is P(A=2 | A+B ≤ 5) = 3⁄10 = 0.3.
| + | B=1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|
| A=1 | 2 | 3 | 4 | 5 | 6 | 7 |
| 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| 3 | 4 | 5 | 6 | 7 | 8 | 9 |
| 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| 5 | 6 | 7 | 8 | 9 | 10 | 11 |
| 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Using the multiplication rule we get
P(ace)P(jack) = (4/52)(4/51) = 16/2652 = 4/663
Sources:
http://www.algebralab.org/lessons/lesson.aspx?file=Algebra_ProbabilityMultiplicationRule.xml.
http://www.stat.wvu.edu/SRS/Modules/ProbLaw/AndProb.html.
http://www.mathgoodies.com/lessons/vol6/addition_rules.html.
http://www3.ul.ie/~mlc/support/Loughborough%20website/chap4/4_3.pdf.
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